The attitude one has towards language learning determines the success or failure of learning the language. To this effect, this study aimed to explore EFL learners’ attitudes towards communicative language learning and the relationship between learners’ attitudes and English language achievement. To address these objectives, the study adopted a survey research design. Two hundred seventeen grad...

The attitude one has towards language learning determines the success or failure of learning the language. To this effect, this study aimed to explore EFL learners’ attitudes towards communicative language learning and the relationship between learners’ attitudes and English language achievement. To address these objectives, the study adopted a survey research design. Two hundred seventeen grad...

We present a method for exact optimization and sampling from high order Hidden Markov Models (HMMs), which are generally handled by approximation techniques. Motivated by adaptive rejection sampling and heuristic search, we propose a strategy based on sequentially refining a lower-order language model that is an upper bound on the true model we wish to decode and sample from. This allows us to ...

Cross Language Information Retrieval (CLIR) enables people to search information written in different languages from their query languages. Information can be retrieved either from a single cross lingual collection or from a variety of distributed cross lingual sources. This paper presents initial results exploring the effectiveness of distributed CLIR using query-based sampling techniques, whi...

Various sampling techniques are widely used in environmental, social and resource surveys. Spatial sampling techniques are more efficient than conventional sampling when surveying spatially distributed targets such as CO2 emissions, soil pollution, a population distribution, disaster distribution, and disease incidence, where spatial autocorrelation and heterogeneity are prevalent. However, des...

Generalized sampling is a numerically stable framework for obtaining reconstructions of signals in different bases and frames from their samples. In this paper, we will introduce a carefully documented toolbox for performing generalized sampling in Julia. Julia is a new language for technical computing with focus on performance, which is ideally suited to handle the large size problems often en...

Even after having taken an introductory statistics class, many students continue to struggle with the concepts of sampling distributions, sampling error, and statistical inference. As a first step in identifying ways of more effectively approaching these topics, the poster will examine methods currently used in popular text books and propose an alternative based on using binomial and Poisson di...

A quasi-polynomial-time algorithm is presented for sampling almost uniformly at random from the n-slice of the language L(G) generated by an arbitrary context-free grammar G. (The n-slice of a language L over an alphabet is the subset L\ n of words of length exactly n.) The time complexity of the algorithm is " ?2 (n jGj) O(log n) , where the parameter " bounds the variation of the output distr...